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Transcripts of every episode of AI Practitioner Exam Bites are now available! Keep scrolling or click here.
Each video is only a few minutes long, perfect to watch or listen to during a spare moment in your day, commute to work, or while waiting for your morning coffee ☕️
AI Practitioner Exam Bites #0: Your Easy Guide to AWS AI Certification
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The video above is the introductory episode and the first in the YouTube playlist of all 43 episodes. You can also access the playlist directly by clicking here.
Episode Transcripts
By popular demand, transcripts of every episode of AI Practitioner Exam Bites are available below. Please feel free to use these to help prepare for the exam - one idea is putting them into your preferred generative AI tool (ChatGPT, Claude, etc), with a carefully crafted prompt, to:
- Create a summary to revise before attempting the exam
- Build some new exam style review questions
- Generate question/answer flashcards
- Extract and define key term definitions
- ...and the list goes on...
So here they are, have fun 😄
- Episode 1: Core AI and ML Concepts You Can’t Ignore
- Episode 2: Batch AI vs Real Time AI – What’s best?
- Episode 3: AI Data Types for Productive ML Models
- Episode 4: Supervised or Unsupervised? AI Learning Styles
- Episode 5: AI Sweet Spot - When to Use AI & When Not To
- Episode 6: Must-Know Machine Learning Techniques
- Episode 7: AI vs ML - From Chatbots to Fraud Detection
- Episode 8: AI Workflow with SageMaker & Lex Tools
- Episode 9: Your Complete Guide to the AWS ML Pipeline
- Episode 10: AI Tools for a Seamless ML Pipeline
- Episode 11: Pretrained vs Custom ML Models for AWS
- Episode 12: Pick the Right API for Your ML Model
- Special Episode: How I Passed the AWS AI Practitioner Exam: My Key Takeaways
- Episode 13: Master MLOps and Model Retraining
- Episode 14: Mastering AI Metrics and Business ROI
- Episode 15: Supercharge AI Models with These Tokens and Embeddings
- Episode 16: Master Foundation Model Lifecycle
- Episode 17: Generative AI Will Change Industry Applications Forever
- Episode 18: Generative AI - Key Strengths and Pitfalls
- Episode 19: Choosing the Right Generative AI Model
- Episode 20: Turn Generative AI Data Into Decisions
- Episode 21: 5 AWS Tools for Building AI Models FAST (Minimal Coding)
- Episode 22: How Amazon Bedrock Powers AI Dominance
- Episode 23: Master AI Models with Amazon Bedrock
- Episode 24: Are Your Inference Settings Holding Back AI Results?
- Episode 25: Mistakes You're Making with Retrieval Augmented Generation
- Episode 26: Simplify AI With AWS Vector Search
- Episode 27: Smart Model Customization on a Budget
- Episode 28: Simplify AI Agents In Minutes!
- Episode 29: Boost AI Output Accuracy Like a Pro
- Episode 30: Poor Prompt Engineering Could Cost You
- Episode 31: Maximize AI Prompts for Spot On Outputs
- Episode 32: Avoiding Prompt Pitfalls: Securing Your AI Systems
- Episode 33: Foundation Model Training You Won’t Learn Elsewhere
- Episode 34: Fine-Tuning AI Foundation Models Like A Pro
- Episode 35: Fine-Tuning Methods for Optimized AI
- Episode 36: Master Data Prep In 3 Minutes
- Episode 37: Overlooked AI Performance Metrics You Can't Afford to Ignore
- Episode 38: 7 Easy Fixes to Mitigate Bias & Variance in AI Models
- Episode 39: Demystify AI Models with These Pro Tips
- Episode 40: Strengthen AI Security Like Fort Knox
- Episode 41: Master AI Governance & Compliance in Minutes